4 ms·
Maybe evolutionary algorithms instead? Hasn't proven super useful historically, but maybe at the scale of enormous LLMs it will be?
by twelfthnight 3y ago
Maybe evolutionary algorithms instead? Hasn't proven super useful historically, but maybe at the scale of enormous LLMs it will be?
- bionhoward 3y agoEvolutionary algorithms made you, didn’t they?
- TheDudeMan 3y agoThat does not prove that they can beat gradient decent.
- bick_nyers 3y agoIt took a lot of human brain flops to get to this point in time though, I wonder how many orders of magnitude more than it took to train ChatGPT...
- VHRanger 3y agoNope, they're orders of magnitude more inefficient because they don't leverage gradient descent. Rule of thumb in optimization: real numbers are easy, integers are hard
- markisus 3y agoThis may be the status quo because of the so called "hardware lottery" which has historically been optimized for floating point. I'm speculating, but if hardware designers were instead only concerned about raw xnor density and throughput, we might end up with chips powerful enough that giant 1-bit nets could be trained purely through evolution.
- imtringued 3y agoHow do you optimize memory for floating point?
- VHRanger 3y agoBF8 and other similar formats?
- VHRanger 3y agoNo, it's a fact at the mathematical level that you can enshrine in big O terms if you want to
- bick_nyers 3y agoGradient-directed evolutionary algorithm sounds kinda interesting.